s3-toolbox-mcp-server

An MCP server (STDIO transport) that exposes AWS S3 operations to an AI agent via Model Context Protocol tools: list buckets, list objects, upload (Base64 content), download, get object metadata, and delete objects. It uses Spring Boot/Spring AI MCP and AWS SDK v2; AWS credentials are provided to the process via environment variables.

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ Storage mcp s3 aws spring-boot spring-ai stdio automation tools agent-integration
⚙ Agent Friendliness
48
/ 100
Can an agent use this?
🔒 Security
33
/ 100
Is it safe for agents?
⚡ Reliability
19
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
72
Documentation
65
Error Messages
0
Auth Simplicity
55
Rate Limits
5

🔒 Security

TLS Enforcement
20
Auth Strength
45
Scope Granularity
10
Dep. Hygiene
50
Secret Handling
40

Security depends on AWS IAM policy assigned to the provided credentials. The README shows long-lived access keys via environment variables but does not discuss secret handling beyond that, nor does it describe key logging avoidance, bucket/key allowlists, or confirmation workflows for destructive operations. TLS is not directly applicable to STDIO transport, but AWS calls inherently use HTTPS by the AWS SDK; explicit enforcement/assurance is not documented. No scoped authorization model for MCP tools is described beyond the AWS credentials themselves.

⚡ Reliability

Uptime/SLA
0
Version Stability
30
Breaking Changes
20
Error Recovery
25
AF Security Reliability

Best When

You want local/desktop integration with an MCP-compatible client/IDE and can provision least-privilege AWS credentials for the server process.

Avoid When

You cannot control/validate which buckets/keys the agent can access, or you need documented quotas/retry/idempotency behavior for safe automation.

Use Cases

  • Agent-assisted S3 exploration (browse buckets/keys by prefix)
  • Automating uploads/downloads based on natural-language requests
  • Retrieving S3 object metadata for workflows
  • Deleting objects as part of cleanup or lifecycle tasks

Not For

  • Highly sensitive or compliance-constrained environments without additional guardrails/least-privilege design
  • Use cases requiring strict auditability, approvals, or human-in-the-loop controls (not described)
  • Public-facing deployments (runs as a local MCP process via STDIO; no network hardening described)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: AWS IAM credentials via environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
OAuth: No Scopes: No

No OAuth/scoped token mechanism is described for the MCP server itself; authorization is delegated to the AWS credentials used by the process. Least-privilege IAM policy design is critical but not documented here.

Pricing

Free tier: No
Requires CC: No

Pricing for the server itself is not described; AWS usage costs apply for S3 operations.

Agent Metadata

Pagination
unknown
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Agent may request operations on unintended buckets/keys; no allowlist/guardrails are described
  • Uploads require base64 content; large files may hit size/time limits (not documented)
  • Deletion is destructive; no confirmation/soft-delete policy described
  • No documented pagination/max-results behavior for list operations (could be partial results or truncation)

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Scores are editorial opinions as of 2026-04-04.

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